AI-Artificial Intelligence Powered Autonomous Vehicle Control System
DOI:
https://doi.org/10.15680/IJCTECE.2025.0801007Keywords:
Artificial Intelligence (AI), Autonomous Vehicles, Self-Driving Cars, Autonomous Driving, Driverless Technology, Vehicle Automation, Intelligent Transportation Systems (ITS)Abstract
An autonomous vehicle navigation system enables vehicles to operate independently, navigating through environments without human intervention. This system integrates various technologies, including GPS, sensors, cameras, and mapping data, to perceive the surroundings and make informed decisions. It utilizes advanced algorithms to process data, detect obstacles, and plan optimal routes, ensuring safe and efficient travel. Autonomous vehicle navigation systems have the potential to revolutionize transportation, improving road safety, reducing congestion, and enhancing mobility for individuals with disabilities or limited mobility.
By leveraging artificial intelligence and machine learning, these systems can adapt to complex scenarios, learn from experience, and continuously improve their performance. A GPS receiver provides real-time location data, enabling the robot to continuously monitor its position and adjust its path accordingly to reach the target destination.
Once the robot arrives at the specified location, the system automatically sends a confirmation message—"Reached"—back to the user using the GSM module. A crystal oscillator ensures precise timing and synchronization of operations, while an LCD display (driven by an LCD driver) and LED indicators provide local status feedback for debugging or monitoring. The reset button allows for manual system restart when necessary, and the entire system is powered via a regulated power supply to ensure stable and reliable performance. This intelligent vehicle system can be extended with AI algorithms for optimized path planning, obstacle avoidance, and real-time decision-making. It is ideal for applications in autonomous delivery, military surveillance, emergency response, and smart logistics, where remote command and autonomous execution are critical.
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